Privacy preserving data mining:
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York, NY
Springer
2006
|
| Series: | Advances in information security
19 |
| Subjects: | |
| Online Access: | http://deposit.dnb.de/cgi-bin/dokserv?id=2739418&prov=M&dok_var=1&dok_ext=htm Inhaltsverzeichnis Inhaltsverzeichnis Inhaltsverzeichnis |
| Item Description: | Literaturverz. S. [115] - 120 |
| Physical Description: | 120 S. graph. Darst. |
| ISBN: | 0387258868 9780387258867 |
Staff View
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Record in the Search Index
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| adam_text | IMAGE 1
PRIVACY PRESERVING
DATA MINING
BY
JAIDEEP VAIDYA RUTGERS UNIVERSITY, NEWURK, NJ
CHRIS CLIFTON PURDUE, W. LAFAYETTE, IN, USA
MICHAEL ZHU PURDUE, W, LAFAYETTE, IN, USA
L SPRI
NNEER
IMAGE 2
CONTENTS
1 PRIVACY AND DATA MINING 1
2 W H AT IS PRIVACY? 7
2.1 INDIVIDUAL IDENTIFIABILITY 8
2.2 MEASURIIIG THE INTRUSIVENESS OF DISCIOSURE 11
3 SOLUTION APPROACHES / PROBLEMS 17
3.1 DATA PARTITIONING MODELS 18
3.2 PERTURBATION 19
3.3 SECURE MULTI-PARTY COMPUTATION 21
3.3.1 SECURE CIRCUIT EVALUATION 23
3.3.2 SECURE SUM 25
4 PREDICTIVE MODELING FOR CLASSIFICATION 29
4.1 DECISION TREE CLASSIFICATION 31
4.2 A PERTURBATION-BASED SOLUTION FOR ID3 34
4.3 A CRYPTOGRAPHIC SOLUTION FOR ID3 38
4.4 ID3 ON VERTICALLY PARTITIONED DATA 40
4.5 BAYESIAN METHODS 45
4.5.1 HORIZONTALLY PARTITIONED DATA 47
4.5.2 VERTICALLY PARTITIONED DATA 48
4.5.3 LEARNING BAYESIAN NETWORK STRUCTURE 50
4.6 SUMMARY 51
5 PREDICTIVE MODELING FOR REGRESSION 53
5.1 INTRODUCTION AND CASE STUDY 53
5.1.1 CASE STUDY 55
5.1.2 WHAT ARE THE PROBLEMS? 55
5.1.3 WEAK SECURE MODEL 58
5.2 VERTICALLY PARTITIONED DATA 60
5.2.1 SECURE ESTIIIIATION OF REGRESSION COEFFICICNTS 60
IMAGE 3
CONTENTS VIII
5.2.2 DIAGNOSTICS AND MODEL DETERMINATION 62
5.2.3 SECURITY ANALYSIS 63
5.2.4 AN ALTERNATIVE: SECURE POWELL S ALGORITHM 65
5.3 HORIZONTALLY PARTITIONED DATA 68
5.4 SUMMARY AND FUTURE RESEARCH 69
6 FINDING PATTERNS AND RULES (ASSOCIATION RULES) 71
6.1 RANDOMLXATION-BASED APPROACHES 72
6.1.1 RANDOMIZATION OPERATOR 73
6.1.2 SUPPORT ESTIMATION AND ALGORITHM 74
6.1.3 LIMITING PRIVAEY BREACH 75
6.1.4 OTHER WORK 7G
6.2 CRYPTOGRAPHY-HASED APPROACHES 79
6.2.1 HORIZONTALLY PARTITIONED DATA 79
6.2.2 VERTICALLY PARTITIONED DATA 80
6.3 INFERENCE FROM RESULTS 82
7 DESCRIPTIVE MODELING (CIUSTERING, OUTLIER DETECTION) 85
7.1 CIUSTERING 86
7.1.1 DATA PCRTURBATION FOR CIUSTERING 86
7.2 CRYPTOGRAPHY-BASED APPROACHES 91
7.2.1 EM-CLUSTERING FOR HORIZONTALLY PARTITIONED DATA 91
7.2.2 K-MEANS CIUSTERING FOR VERTICALLY PARTITIONED DATA . . .. 95 7.3
OUTLIER DETECTION 99
7.3.1 DISTANCE-BASED OUTLIERS 101
7.3.2 BASIC APPROACH 102
7.3.3 HORIZONTALLY PARTITIONED DATA 102
7.3.4 VERTICALLY PARTITIONED DATA 105
7.3.5 MODIFIED SECURE COMPARISON PROTOCOL 106
7.3.6 SECURITY ANALYSIS 107
7.3.7 COMPUTATION AND COMMUNICATION ANALYSIS 110
7.3.8 SNMMARY 111
8 FUTURE RESEARCH - PROBLEMS REMAINING 113
REFERENCES 115
INDEX 121
|
| adam_txt |
IMAGE 1
PRIVACY PRESERVING
DATA MINING
BY
JAIDEEP VAIDYA RUTGERS UNIVERSITY, NEWURK, NJ
CHRIS CLIFTON PURDUE, W. LAFAYETTE, IN, USA
MICHAEL ZHU PURDUE, W, LAFAYETTE, IN, USA
L SPRI
NNEER
IMAGE 2
CONTENTS
1 PRIVACY AND DATA MINING 1
2 W H AT IS PRIVACY? 7
2.1 INDIVIDUAL IDENTIFIABILITY 8
2.2 MEASURIIIG THE INTRUSIVENESS OF DISCIOSURE 11
3 SOLUTION APPROACHES / PROBLEMS 17
3.1 DATA PARTITIONING MODELS 18
3.2 PERTURBATION 19
3.3 SECURE MULTI-PARTY COMPUTATION 21
3.3.1 SECURE CIRCUIT EVALUATION 23
3.3.2 SECURE SUM 25
4 PREDICTIVE MODELING FOR CLASSIFICATION 29
4.1 DECISION TREE CLASSIFICATION 31
4.2 A PERTURBATION-BASED SOLUTION FOR ID3 34
4.3 A CRYPTOGRAPHIC SOLUTION FOR ID3 38
4.4 ID3 ON VERTICALLY PARTITIONED DATA 40
4.5 BAYESIAN METHODS 45
4.5.1 HORIZONTALLY PARTITIONED DATA 47
4.5.2 VERTICALLY PARTITIONED DATA 48
4.5.3 LEARNING BAYESIAN NETWORK STRUCTURE 50
4.6 SUMMARY 51
5 PREDICTIVE MODELING FOR REGRESSION 53
5.1 INTRODUCTION AND CASE STUDY 53
5.1.1 CASE STUDY 55
5.1.2 WHAT ARE THE PROBLEMS? 55
5.1.3 WEAK SECURE MODEL 58
5.2 VERTICALLY PARTITIONED DATA 60
5.2.1 SECURE ESTIIIIATION OF REGRESSION COEFFICICNTS 60
IMAGE 3
CONTENTS VIII
5.2.2 DIAGNOSTICS AND MODEL DETERMINATION 62
5.2.3 SECURITY ANALYSIS 63
5.2.4 AN ALTERNATIVE: SECURE POWELL'S ALGORITHM 65
5.3 HORIZONTALLY PARTITIONED DATA 68
5.4 SUMMARY AND FUTURE RESEARCH 69
6 FINDING PATTERNS AND RULES (ASSOCIATION RULES) 71
6.1 RANDOMLXATION-BASED APPROACHES 72
6.1.1 RANDOMIZATION OPERATOR 73
6.1.2 SUPPORT ESTIMATION AND ALGORITHM 74
6.1.3 LIMITING PRIVAEY BREACH 75
6.1.4 OTHER WORK 7G
6.2 CRYPTOGRAPHY-HASED APPROACHES 79
6.2.1 HORIZONTALLY PARTITIONED DATA 79
6.2.2 VERTICALLY PARTITIONED DATA 80
6.3 INFERENCE FROM RESULTS 82
7 DESCRIPTIVE MODELING (CIUSTERING, OUTLIER DETECTION) 85
7.1 CIUSTERING 86
7.1.1 DATA PCRTURBATION FOR CIUSTERING 86
7.2 CRYPTOGRAPHY-BASED APPROACHES 91
7.2.1 EM-CLUSTERING FOR HORIZONTALLY PARTITIONED DATA 91
7.2.2 K-MEANS CIUSTERING FOR VERTICALLY PARTITIONED DATA . . . 95 7.3
OUTLIER DETECTION 99
7.3.1 DISTANCE-BASED OUTLIERS 101
7.3.2 BASIC APPROACH 102
7.3.3 HORIZONTALLY PARTITIONED DATA 102
7.3.4 VERTICALLY PARTITIONED DATA 105
7.3.5 MODIFIED SECURE COMPARISON PROTOCOL 106
7.3.6 SECURITY ANALYSIS 107
7.3.7 COMPUTATION AND COMMUNICATION ANALYSIS 110
7.3.8 SNMMARY 111
8 FUTURE RESEARCH - PROBLEMS REMAINING 113
REFERENCES 115
INDEX 121 |
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| author | Vaidya, Jaideep Clifton, Christopher W. Zhu, Yu Michael |
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| dewey-full | 006.312 005.74 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods 005 - Computer programming, programs, data, security |
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| dewey-sort | 16.312 |
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| discipline | Rechtswissenschaft Informatik |
| discipline_str_mv | Rechtswissenschaft Informatik |
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| index_date | 2024-07-02T16:22:11Z |
| indexdate | 2024-07-09T20:52:06Z |
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| series | Advances in information security |
| series2 | Advances in information security |
| spelling | Vaidya, Jaideep Verfasser aut Privacy preserving data mining by Jaideep Vaidya ; Chris Clifton ; Michael Zhu New York, NY Springer 2006 120 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Advances in information security 19 Literaturverz. S. [115] - 120 Bases de données - Sécurité - Mesures Exploration de données (Informatique) Protection de l'information (Informatique) Data mining Data protection Database security Datenbank (DE-588)4011119-2 gnd rswk-swf Geheimhaltung (DE-588)4140232-7 gnd rswk-swf Recherche (DE-588)4121560-6 gnd rswk-swf Datenbank (DE-588)4011119-2 s Recherche (DE-588)4121560-6 s Geheimhaltung (DE-588)4140232-7 s DE-604 Clifton, Christopher W. Verfasser aut Zhu, Yu Michael Verfasser aut Advances in information security 19 (DE-604)BV014168308 19 http://deposit.dnb.de/cgi-bin/dokserv?id=2739418&prov=M&dok_var=1&dok_ext=htm http://www.gbv.de/dms/ilmenau/toc/492861021vaidy.PDF lizenzfrei Inhaltsverzeichnis http://www.loc.gov/catdir/toc/fy0613/2005934034.html lizenzfrei Inhaltsverzeichnis GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015405248&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Vaidya, Jaideep Clifton, Christopher W. Zhu, Yu Michael Privacy preserving data mining Advances in information security Bases de données - Sécurité - Mesures Exploration de données (Informatique) Protection de l'information (Informatique) Data mining Data protection Database security Datenbank (DE-588)4011119-2 gnd Geheimhaltung (DE-588)4140232-7 gnd Recherche (DE-588)4121560-6 gnd |
| subject_GND | (DE-588)4011119-2 (DE-588)4140232-7 (DE-588)4121560-6 |
| title | Privacy preserving data mining |
| title_auth | Privacy preserving data mining |
| title_exact_search | Privacy preserving data mining |
| title_exact_search_txtP | Privacy preserving data mining |
| title_full | Privacy preserving data mining by Jaideep Vaidya ; Chris Clifton ; Michael Zhu |
| title_fullStr | Privacy preserving data mining by Jaideep Vaidya ; Chris Clifton ; Michael Zhu |
| title_full_unstemmed | Privacy preserving data mining by Jaideep Vaidya ; Chris Clifton ; Michael Zhu |
| title_short | Privacy preserving data mining |
| title_sort | privacy preserving data mining |
| topic | Bases de données - Sécurité - Mesures Exploration de données (Informatique) Protection de l'information (Informatique) Data mining Data protection Database security Datenbank (DE-588)4011119-2 gnd Geheimhaltung (DE-588)4140232-7 gnd Recherche (DE-588)4121560-6 gnd |
| topic_facet | Bases de données - Sécurité - Mesures Exploration de données (Informatique) Protection de l'information (Informatique) Data mining Data protection Database security Datenbank Geheimhaltung Recherche |
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| work_keys_str_mv | AT vaidyajaideep privacypreservingdatamining AT cliftonchristopherw privacypreservingdatamining AT zhuyumichael privacypreservingdatamining |
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Indexes
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